86 search results - page 4 / 18 » Generative and Discriminative Learning with Unknown Labeling... |
ECML
2005
Springer
14 years 1 months ago
2005
Springer
Discriminative learning techniques for sequential data have proven to be more effective than generative models for named entity recognition, information extraction, and other task...
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
IJCAI
2007
13 years 9 months ago
2007
This paper proposes and develops a new graph-based semi-supervised learning method. Different from previous graph-based methods that are based on discriminative models, our method...
ML
2011
ACM
13 years 2 months ago
2011
ACM
Abstract. Type Extension Trees (TET) have been recently introduced as an expressive representation language allowing to encode complex combinatorial features of relational entities...
ICDM
2003
IEEE
14 years 1 months ago
2003
IEEE
Semi-supervised learning methods construct classifiers using both labeled and unlabeled training data samples. While unlabeled data samples can help to improve the accuracy of trai...